Job Description
Role Overview:
We are seeking detail-oriented professionals with hands-on experience in customer service operations, e-commerce, or operations management . In this role, you’ll help build workflows, datasets, and simulations that power the benchmarking of large language models (LLMs) .
Your work will focus on recreating real-world support scenarios , validating AI-generated outputs, and ensuring compliance, trust, and customer experience standards.
What You’ll Do:
• Recreate workflows for ticket handling, chat/email support, refunds/returns, and knowledge base management .
• Validate AI-generated outputs in customer support scenarios to ensure accuracy, compliance, and trustworthiness.
• Simulate escalations, SLA tracking, and quality audits within support workflows.
• Provide structured annotations and datasets to improve LLM training and evaluation.
Required Qualifications:
• Proven experience in customer service operations (ticket handling, chat/email workflows, refunds/returns, knowledge base upkeep).
• Familiarity with workflow tools (e.g., Zendesk, Freshdesk, Salesforce Service Cloud, ServiceNow, Jira, or equivalents).
• Strong attention to detail and ability to spot weaknesses in AI-generated workflows.
• Understanding of how operational data is used to train and evaluate LLMs.
• Excellent written English for creating training-quality datasets and validating AI outputs.
Perks of Freelancing with Turing:
• Remote-first and flexible work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.
Offer Details:
• Commitment: Minimum 30 hours/week (at least 4 hours/day, with 4 hours overlapping PST).
• Engagement Type: Contractor / Freelancer (no medical or paid leave).
• Duration: 1 month (possible extension).
Know amazing talent? Refer them at turing.com/referrals , and earn money from your network.
We are seeking detail-oriented professionals with hands-on experience in customer service operations, e-commerce, or operations management . In this role, you’ll help build workflows, datasets, and simulations that power the benchmarking of large language models (LLMs) .
Your work will focus on recreating real-world support scenarios , validating AI-generated outputs, and ensuring compliance, trust, and customer experience standards.
What You’ll Do:
• Recreate workflows for ticket handling, chat/email support, refunds/returns, and knowledge base management .
• Validate AI-generated outputs in customer support scenarios to ensure accuracy, compliance, and trustworthiness.
• Simulate escalations, SLA tracking, and quality audits within support workflows.
• Provide structured annotations and datasets to improve LLM training and evaluation.
Required Qualifications:
• Proven experience in customer service operations (ticket handling, chat/email workflows, refunds/returns, knowledge base upkeep).
• Familiarity with workflow tools (e.g., Zendesk, Freshdesk, Salesforce Service Cloud, ServiceNow, Jira, or equivalents).
• Strong attention to detail and ability to spot weaknesses in AI-generated workflows.
• Understanding of how operational data is used to train and evaluate LLMs.
• Excellent written English for creating training-quality datasets and validating AI outputs.
Perks of Freelancing with Turing:
• Remote-first and flexible work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.
Offer Details:
• Commitment: Minimum 30 hours/week (at least 4 hours/day, with 4 hours overlapping PST).
• Engagement Type: Contractor / Freelancer (no medical or paid leave).
• Duration: 1 month (possible extension).
Know amazing talent? Refer them at turing.com/referrals , and earn money from your network.
💡 Quick Summary
Seeking a career-building opportunity? The Customer Service Operator - 45024 position is now open for candidates interested in the Customer Care sector. This role in Kochi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Customer Care is a plus.
